Yongchul G Chung

14PUBLICATIONS
18CO-AUTHORS
Electrical energy storageNuclear engineering (incl. fuel enrichment and waste processing and storage)Inorganic materials (incl. nanomaterials)CognitionHydrometallurgy
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Publications (14)

|Mar 16, 2026
Data-driven prediction of ionic conductivity in solid-state electrolytes with machine learning and large language models.

Haewon Kim, Taekgi Lee, Seongeun Hong

|Oct 27, 2025
A Master Isotherm Model Approach to Quantify Defects in UiO-66 from Nitrogen Adsorption Isotherms.

Yu Chen, Guobin Zhao, Li-Chiang Lin

|Aug 11, 2025
MOFClassifier: A Machine Learning Approach for Validating Computation-Ready Metal-Organic Frameworks.

Guobin Zhao, Pengyu Zhao, Yongchul G Chung

|Jun 01, 2024
PACMAN: A Robust Partial Atomic Charge Predicter for Nanoporous Materials Based on Crystal Graph Convolution Networks.

Guobin Zhao, Yongchul G Chung

|Apr 15, 2024
High Hydrogen Storage in Trigonal Prismatic Monomer-Based Highly Porous Aromatic Frameworks.

Dae Won Kim, Yu Chen, Hyunlim Kim

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